Assessing the Influence of Mining Impacts on Buildings using SVM and MLR Method

3rd World Multidisciplinary Civil Engineering, Architecture, Urban Planning Symposium

土木建筑工程;文学

Rusek, Janusz^1 ; Firek, Karol^1 ; Wodynski, Aleksander^1

AGH University of Science and Technology in Cracow, al. Mickiewicza 30, Cracow

30-059, Poland^1

关键词: Masonry building;    Multiple linear regression models;    Multiple linear regressions;    Research studies;    Residential building;    Residential development;    Surface deformation;    SVM(support vector machine);   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/471/5/052060/pdf
DOI  :  10.1088/1757-899X/471/5/052060

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

The article presents research studies, the aim of which was to assess the influence of mining impacts in the form of surface deformation, as well as mining tremors, on technical wear of traditional residential development in a mining area. A group of 170 single-family masonry residential buildings located in the mining area of the Legnica-Glogów Copper District (LGOM) were analysed. The assessment was based on the model of technical wear, developed using SVM (Support Vector Machine) method in -SVR regression approach. In order to interpret the metrics describing the monotonicity of the nonlinear -SVR model and to confirm the established trends, they were confronted with the results obtained using a multiple linear regression model (MLR - Multiple Linear Regression). The results confirmed the view that it was the age of the masonry buildings located in the Copper District which had the dominant influence on their technical wear, while the influence of mining impacts was to be considered secondary, however, significant in the statistical sense.